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Graphical Models in Applied Multivariate Statistics

J. Whittaker
€81.99
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Author_J. Whittaker
Category=PBT
decomposability
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gaussian models
graphical chain models
independence
independence graphs
index
information divergence
interaction
inverse variance
linear models
log
mixed variables
model selection
sparse tables
subject index

Product details

  • ISBN 9780470743669
  • Weight: 652g
  • Dimensions: 153 x 231mm
  • Publication Date: 28 Oct 2008
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Paperback
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Description
The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists.

Graphical models--a subset of log-linear models--reveal the interrelationships between multiple variables and features of the underlying conditional independence. This introduction to the use of graphical models in the description and modeling of multivariate systems covers conditional independence, several types of independence graphs, Gaussian models, issues in model selection, regression and decomposition. Many numerical examples and exercises with solutions are included.

This book is aimed at students who require a course on applied multivariate statistics unified by the concept of conditional independence and researchers concerned with applying graphical modelling techniques.
About J. Whittaker

Joe Whittaker is the author of Graphical Models in Applied Multivariate Statistics, published by Wiley.

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